Objective: Hysteroscopy and fractional curettage are commonly utilized techniques for the diagnosis of postmenopausal abnormal uterine bleeding and histopathological verification of primary endometrial cancer (EC). This study delves into the clinical significance of procuring preoperative endocervical tissue in conjunction with corpus fractions through fractional curettage. Design: This retrospective study encompassed a cohort of 84 patients diagnosed with T1 stage EC and 55 patients diagnosed with T2 stage EC, who underwent primary treatment between the years 2011 and 2021 at the University Hospital Frankfurt or Jung-Stilling Hospital Siegen. Materials, Setting, Methods: Among the postoperative T2 stage EC patients, a stratification was performed based on preoperative endocervical curettage (ECC) results obtained through fractional curettage. Categorical and continuous variables were compared utilizing the Pearson χ2 test, while for multivariate analyses and regression modeling, the Kaplan-Meier method and Cox regression models were respectively employed. Results: The median age of patients with pT2 stage EC was 64 years (range: 38–85). A predominant majority of these patients exhibited the endometrioid subtype of EC (90.9%). Upon conducting comparative analysis between groups, a notably higher frequency of laparotomies was observed (p = 0.002) among patients in whom preoperatively detected positive ECC was evident. The detection performance of fractional curettage in identifying positive ECC yielded a sensitivity of 70.9% and a specificity of 73.8%. In multivariate analysis, age at diagnosis (p = 0.022), positive ECC observed during fractional curettage (p = 0.036), and the FIGO stage (p = 0.036) emerged as prognostic determinant for progression-free survival. Independent prognostic factors for overall survival (OS) were age at diagnosis (p = 0.003), positive ECC (p = 0.008), histological grading (p = 0.016), and the FIGO stage (p = 0.022). A significant difference in OS was evident between patients characterized by preoperative negative ECC and those displaying positive ECC (81.8 vs. 59.5 months, p = 0.019). Limitations: Limitations include the retrospective design of the study as well as a small number of patients.Conclusions: Preoperative determination of endocervical involvement of primary T2 stage EC could be a prognostic indicator in decision-making to treat EC. The conduct of prospective trials is necessary to definitively establish the routine application and associated benefits of fractional curettage in the context of primary EC.

Endometrial cancer (EC) stands as the foremost gynecological malignancy, demonstrating a noteworthy increase in global incidence rates over recent decades [1]. Abnormal uterine bleeding emerges as an initial symptom, whereas an atypical sonographic portrayal of endometrial thickness exceeding 3 mm in postmenopausal women offers an opportunity for early EC diagnosis, aligning with stages I and II according to the FIGO classification [2, 3]. The prompt identification of this malignancy not only enhances patient prognosis but also alleviates the financial burden on healthcare infrastructures [4]. In most countries, hysteroscopy and fractional curettage constitute the predominant modalities for diagnosing abnormal uterine bleeding and histologically confirming primary EC [5]. In the recent past, evaluating endocervical involvement in fractional curettage was essential for deciding between radical hysterectomy and simple hysterectomy. For patients with positive endocervical curettage (ECC) results, radical hysterectomy was recommended [6, 7]. However, the benefits of radical hysterectomy concerning overall survival (OS) and progression-free survival (PFS) were not observed in patients with primary EC [8]. Consequently, this procedure is no longer recommended due to increased postoperative morbidity according to guidelines [9]. Moreover, preoperative corpus curettage offers the possibility of pre-therapeutically determining the treatment-relevant mismatch repair (MMR) and p53 proteins through immunohistochemical (IHC) staining [9]. The protein expression pattern in IHC and the mutational profile of POLE (polymerase-epsilon) in next-generation sequencing have become increasingly pivotal for therapy management and disease prognosis [10] and are recommended for inclusion in preoperative diagnostics [9]. Their preoperative determination in curettage and their application in disease staging, as per the newly published FIGO classification of 2023 [11], enable precise risk group stratification, allowing for up- and down-staging between FIGO stages I and II. With higher sensitivity and specificity, both exceeding 98%, in detecting and differentiating endometrial polyps, fibroids, and carcinoma, the combination of fractional curettage and hysteroscopy surpasses their individual applications as a diagnostic method [12]. In a meta-analysis by Visser et al. [13], the concordance rate between preoperative imaging diagnostics and the final histological diagnosis of EC was 0.70 for dilatation and curettage and 0.89 for hysteroscopic biopsy. Specimen collection using a pipelle or Tao Brush as an alternative to fractional curettage could not be established in routine clinical use in Germany, given the high predictive value of fractional curettage and hysteroscopy, along with the lack of doctors’ experience [5]. The aim of this study was to assess the predictive and prognostic value of a positive ECC in fractional curettage and its practical relevance in clinical routine.

In this retrospective analysis, we consecutively enrolled 203 patients with T1 and T2 stage EC who underwent primary surgical treatment from 2011 to 2021 at University Hospital Frankfurt and Jung-Stilling Hospital, Siegen. Patient data for each participant were retrieved from either the digital or analog archives of the University Center for Tumor Diseases Frankfurt (UCT) and the Cancer Center of Jung-Stilling Hospital, Siegen. All patient data had been prospectively documented in the comprehensive cancer center databases of both hospitals, both of which are certified gyneco-oncological centers by the German Cancer Society. All surgeries were performed by senior surgeons with subspecialization in gynecological oncology. Histopathological examinations and immunohistochemistry (IHC) assessments were conducted and reported separately by two certified gyneco-oncopathologists at each hospital. Positivity of ECC was determined by the presence of endometrial malignant cells in fractional curettage, and the pT2 stage of the disease was defined as cervical stromal involvement after histological examination of the uterus according to the TNM-UICC classification in our study. The assessment of intrauterine tumor dissemination in numerous instances was conducted through expert ultrasound, while the comprehensive staging involved the utilization of a CT scan. In instances characterized by ambiguity or specificity pertaining to invasion of the uterus or cervix, recourse to a magnetic resonance imaging (MRI) scan was employed. Cases with missing or doubtful data regarding clinicopathological factors, histological subtypes other than endometrioid, serous, or clear cell EC were excluded from this analysis. Similarly, patients with EC diagnosed beyond hysteroscopy and fractional curettage were not included. The flowchart (Fig. 1) illustrates the inclusion and exclusion criteria for the patients in this study. For comparative analysis, patients with pT2 stage EC were divided postoperatively into two groups based on their preoperative ECC status (positive or negative) as revealed in fractional curettage. Differences in clinicopathological factors, such as age, performance and obesity status, comorbidities, histological features, clinical staging, and therapeutic aspects, were investigated. Survival rates and predictive factors influencing survival were analyzed for both groups. To calculate the sensitivity and specificity of fractional curettage, the clinicopathological factors of 84 pT1 patients were compared with those of 55 pT2 patients.

Fig. 1.

Flowchart of patients with primary EC underwent surgical treatment from 2011 to 2021.

Fig. 1.

Flowchart of patients with primary EC underwent surgical treatment from 2011 to 2021.

Close modal

Following surgery, all patients were presented at an internal multidisciplinary tumor board in both hospitals to determine the need for adjuvant treatment. Based on disease stage and in accordance with European and German guidelines [14], adjuvant radiotherapy and/or chemotherapy was considered. According to previous guidelines [5], adjuvant chemotherapy could be considered for pT2 stage EC following a detailed discussion and clarification with the patient. After completing the primary therapy, patients were enrolled in a follow-up program in line with the guidelines, which included examinations every 3 months for the first 3 years after primary treatment or until symptoms occurred. Each follow-up appointment, conducted by experienced gynecologists during our specialized consulting hours, included gynecological clinical examinations along with transvaginal and abdominal sonography.

Most patients preferred alternating follow-up observations with their own referred experienced gynecologist’s office. Further additional examinations, such as CT, MRI, or positron emission tomography scans, were conducted when there were suspicions of disease recurrence, such as the presence of symptoms or abnormal findings during clinical examinations. The most recent follow-up data for each case included in our analysis were obtained either through direct contact with patients and their treating gynecologists or from their insurance records. The need for informed consent was waived due to the retrospective nature of this study. The study received approval from the Institutional Review Boards of the UCT and the Ethical Committee at the University Hospital Frankfurt (project numbers: UCT-19-2021, UCT-31-2020).

Statistical Analysis

All statistical analyses were performed using SPSS Statistics (Version 29; IBM, NY, USA). A probability value of p < 0.05 was considered statistically significant for all tests conducted. Survival analyses were performed using the Kaplan-Meier method and Cox regression models. Odds ratios for predictive factors influencing the survival rate were estimated using stepwise Cox regression models. A Pearson χ2 test was conducted to compare categorical and continuous variables. To calculate the sensitivity and specificity of hysteroscopy and fractional curettage, a fourfold table and appropriate statistical formulas were used.

The median age of the cohort was 64 years, with a range of 38–85 years, and two-thirds were postmenopausal (72.7%). Approximately half of the patients (50.9%) were suffering from obesity, and the majority (89.1%) had a good ECOG performance status. Solely, one-third (29.1%) of cases were over 65 years old at the initial diagnosis of the disease. Comorbidities such as arterial hypertension (40.0%) and diabetes mellitus (29.1%) were the most commonly observed. Most cases exhibited the endometrioid subtype (90.9%) of histology, while a minority presented with serous (5.4%), clear cell (1.8%), and mixed (1.8%) serous and endometrioid EC. High-grade differentiation of the tumor and invasion of lymphovascular space (LVSI) were observed in 34.5% and 32.7% of patients, respectively. Pelvic and para-aortic lymph node involvement was observed in 9 (16.4%) of pT2 cases, resulting in an upgrade of the stage to FIGO IIIC. Additionally, in 3 (5.5%) cases, distant metastasis of FIGO IVB was detected, with positive lymph nodes beyond the previously mentioned regions.

The entire cohort of pT2 stage EC was divided into two groups: 39 patients (70.9%) with positive ECC and 16 patients (29.1%) with negative ECC before hysterectomy. No statistically significant differences between both groups were found regarding clinicopathological factors such as age at diagnosis (p = 0.351), ECOG status (p = 0.282), BMI (p = 0.556), arterial hypertension (p = 0.716), diabetes mellitus (p = 0.279), obesity (p = 0.274), hormonal status (p = 0.509), subtype of histology (p = 0.639), grading (p = 0.635), FIGO stage (p = 0.430), node status (p = 0.223), distant metastasis (p = 0.868), and LVSI (p = 0.157). The baseline characteristics of patients are illustrated in Table 1.

Table 1.

Baseline characteristics of pT2 stage primary EC patients

VariablesAll patients (n = 55)Positive ECC cohort (n = 39)Negative ECC cohort (n = 16)p value
Age at initial diagnosis, median (range), years 64 (38–85) 66 (38–85) 59.5 (43–72) 0.351 
Age at diagnosis, n (%) 
 <65 years 39 (70.9) 21 (53.8) 11 (68.8) 0.127 
 ≥65 years 16 (29.1) 18 (46.2) 5 (31.3)  
ECOG performance status, n (%) 
 0 32 (58.2) 20 (51.3) 12 (75) 0.282 
 I 17 (30.9) 13 (33.3) 4 (25)  
 II 4 (7.3) 4 (10.3) 0 (0)  
 III 2 (3.6) 2 (5.1) 0 (0)  
BMI, median (range), kg/m2 30.5 (18–51) 30 (18–51) 32 (22–46) 0.556 
Metabolic syndrome, n (%) 
 Arterial hypertension 22 (40.0) 15 (38.5) 7 (43.8) 0.716 
 Diabetes mellitus 16 (29.1) 13 (33.3) 3 (18.8) 0.279 
 Obesity 28 (50.9) 18 (46.2) 10 (62.5) 0.274 
 Grade I 13 (23.6) 7 (17.9) 6 (37.5)  
 Grade II 7 (12.7) 4 (10.3) 3 (18.75)  
 Grade III 8 (14.5) 7 (17.9) 1 (6.3)  
Hormonal status, n (%) 
 Premenopausal 12 (21.8) 8 (20.5) 4 (25.0) 0.509 
 Perimenopausal 3 (5.5) 3 (7.7) 0 (0)  
 Postmenopausal 40 (72.7) 28 (71.8) 12 (75.0)  
Histology, n (%) 
 Endometrioid 50 (90.9) 35 (89.7) 15 (93.8) 0.639 
 Non-endometrioid1 5 (9.1) 4 (10.3) 1 (6.3)  
Grading, n (%) 
 G1 15 (27.3) 10 (25.6) 5 (31.3) 0.635 
 G2 21 (38.2) 14 (35.9) 7 (43.8)  
 G3 19 (34.5) 15 (38.5) 4 (25.0)  
FIGO stage, n (%) 
 II 43 (78.2) 29 (74.4) 14 (87.5) 0.430 
 IIIC 9 (16.4) 8 (20.5) 1 (6.3)  
 IVB 3 (5.4) 2 (5.1) 1 (6.3)  
Node status, n (%) 
 pNx2 10 (18.2) 7 (18.0) 3 (18.8) 0.223 
 pN0 33 (60.0) 21 (53.8) 12 (75.0)  
 pN1 12 (21.8) 11 (28.2) 1 (6.2)  
Distant metastasis, n (%) 
 M0 52 (94.5) 37 (94.9) 15 (93.8) 0.868 
 M1 3 (5.4) 2 (5.1) 1 (6.3)  
Lymphovascular space invasion (pLVSI), n (%) 
 Negative 37 (67.3) 24 (61.5) 13 (92.2) 0.157 
 Positive 18 (32.7) 15 (38.5) 3 (18.8)  
Recurrences, n (%) 
 0–36 months 6 (10.1) 4 (10.3) 2 (12.5)  
 >36 months 1 (1.8) 1 (2.6) 0 (0)  
Death, n (%) 16 (29.1) 14 (35.9) 1 (6.3)  
Follow-up, median (range), months 56 (5–122) 57 (1–122) 60 (14–94) 0.273 
VariablesAll patients (n = 55)Positive ECC cohort (n = 39)Negative ECC cohort (n = 16)p value
Age at initial diagnosis, median (range), years 64 (38–85) 66 (38–85) 59.5 (43–72) 0.351 
Age at diagnosis, n (%) 
 <65 years 39 (70.9) 21 (53.8) 11 (68.8) 0.127 
 ≥65 years 16 (29.1) 18 (46.2) 5 (31.3)  
ECOG performance status, n (%) 
 0 32 (58.2) 20 (51.3) 12 (75) 0.282 
 I 17 (30.9) 13 (33.3) 4 (25)  
 II 4 (7.3) 4 (10.3) 0 (0)  
 III 2 (3.6) 2 (5.1) 0 (0)  
BMI, median (range), kg/m2 30.5 (18–51) 30 (18–51) 32 (22–46) 0.556 
Metabolic syndrome, n (%) 
 Arterial hypertension 22 (40.0) 15 (38.5) 7 (43.8) 0.716 
 Diabetes mellitus 16 (29.1) 13 (33.3) 3 (18.8) 0.279 
 Obesity 28 (50.9) 18 (46.2) 10 (62.5) 0.274 
 Grade I 13 (23.6) 7 (17.9) 6 (37.5)  
 Grade II 7 (12.7) 4 (10.3) 3 (18.75)  
 Grade III 8 (14.5) 7 (17.9) 1 (6.3)  
Hormonal status, n (%) 
 Premenopausal 12 (21.8) 8 (20.5) 4 (25.0) 0.509 
 Perimenopausal 3 (5.5) 3 (7.7) 0 (0)  
 Postmenopausal 40 (72.7) 28 (71.8) 12 (75.0)  
Histology, n (%) 
 Endometrioid 50 (90.9) 35 (89.7) 15 (93.8) 0.639 
 Non-endometrioid1 5 (9.1) 4 (10.3) 1 (6.3)  
Grading, n (%) 
 G1 15 (27.3) 10 (25.6) 5 (31.3) 0.635 
 G2 21 (38.2) 14 (35.9) 7 (43.8)  
 G3 19 (34.5) 15 (38.5) 4 (25.0)  
FIGO stage, n (%) 
 II 43 (78.2) 29 (74.4) 14 (87.5) 0.430 
 IIIC 9 (16.4) 8 (20.5) 1 (6.3)  
 IVB 3 (5.4) 2 (5.1) 1 (6.3)  
Node status, n (%) 
 pNx2 10 (18.2) 7 (18.0) 3 (18.8) 0.223 
 pN0 33 (60.0) 21 (53.8) 12 (75.0)  
 pN1 12 (21.8) 11 (28.2) 1 (6.2)  
Distant metastasis, n (%) 
 M0 52 (94.5) 37 (94.9) 15 (93.8) 0.868 
 M1 3 (5.4) 2 (5.1) 1 (6.3)  
Lymphovascular space invasion (pLVSI), n (%) 
 Negative 37 (67.3) 24 (61.5) 13 (92.2) 0.157 
 Positive 18 (32.7) 15 (38.5) 3 (18.8)  
Recurrences, n (%) 
 0–36 months 6 (10.1) 4 (10.3) 2 (12.5)  
 >36 months 1 (1.8) 1 (2.6) 0 (0)  
Death, n (%) 16 (29.1) 14 (35.9) 1 (6.3)  
Follow-up, median (range), months 56 (5–122) 57 (1–122) 60 (14–94) 0.273 

ECC, endocervical curettage; obesity grade, ranks according to the WHO BMI classification; BMI, body mass index; ECOG performance status, Eastern Cooperative Oncology Group; FIGO, International Federation of Gynecology and Obstetrics (2009).

1Three serous EC, one clear cell EC, one mixed endometrioid and serous EC.

2Patients had no lymphadenectomy due to high risk for perioperative complications or refusal.

All patients underwent hysterectomy and bilateral salpingo-oophorectomy (BSO), either via laparotomy (49.1%) or minimally invasive techniques (50.9%). Laparotomy was significantly more common in the positive ECC group than in the negative ECC group (64.1% vs. 18.7%, p = 0.002). This difference is likely due to the indication for radical hysterectomy in cases of endocervical involvement. However, in the later years of the study, minimally invasive approaches were increasingly used in 35.9% of patients, even though the duration of surgery did not significantly differ between both groups (242 min vs. 225 min, p = 0.395).

In four (7.3%) patients, BSO was performed for benign indications prior to cancer surgery. Approximately one-fifth of patients (18.2%) did not undergo lymphadenectomy due to a high risk of perioperative complications related to cardiovascular diseases, coagulopathy, or patient refusal. Omentectomy was indicated in 4 (7.3%) cases based on non-endometrioid histology. Microscopic residue was identified at the resection margin in 1 patient; however, the patient declined re-resection. Adjuvant radiotherapy was administered to 72.7% of the cases, while 27.3% refused this treatment despite being adequately informed. Adjuvant chemotherapy, following guideline recommendations at the time, was offered as an optional treatment. Consequently, 20.0% of the patients received adjuvant chemotherapy for enhanced oncological safety. No significant differences in surgical procedures and adjuvant therapies were observed between the two groups, as shown in Table 2.

Table 2.

Surgical procedures and adjuvant treatment of T2 stage patients

VariablesAll patients (n = 55)Positive ECC cohort (n = 39)Negative ECC cohort (n = 16)p value
Surgical entry, n (%) 
 Laparotomy 27 (49.1) 25 (64.1) 3 (18.7) 0.002 
 Minimal invasive techniques 28 (50.9) 14 (35.9) 13 (81.3)  
Duration of surgery, median (range), min 233.5 (112–435) 242 (171–435) 225 (112–321) 0.395 
Surgical procedures, n (%) 
 Hysterectomy 55 (100) 39 (100) 16 (100)  
 Bilateral salpingo-oophorectomy, n (%) 
  Yes 51 (92.7) 37 (94.9) 14 (87.5) 0.339 
  No1 4 (7.3) 2 (5.1) 2 (12.5)  
 Pelvic lymphadenectomy, n (%) 
  Primary 44 (80.0) 31 (79.5) 13 (81.3) 0.289 
  Secondary 1 (1.8) 0 (0) 1 (6.3)  
  No2 10 (18.2) 8 (20.5) 2 (12.4)  
 Para-aortic lymphadenectomy, n (%) 
  Primary 30 (54.5) 22 (56.4) 8 (50) 0.283 
  Secondary 1 (1.8) 0 (0) 1 (6.3)  
  No 24 (43.6) 17 (43.6) 7 (43.8)  
 Omentectomy, n (%) 
  Yes3 4 (7.3) 2 (5.1) 2 (12.5) 0.339 
  No 51 (92.7) 37 (94.9) 14 (87.5)  
 Residual tumor, n (%) 
  pR0 54 (98.2) 38 (97.4) 16 (100) 0.518 
  pR1 1 (1.8) 1 (2.6) 0 (0)  
Adjuvant therapy, n (%) 
 Radiotherapy4 
  Yes 40 (72.7) 27 (69.2) 13 (81.3) 0.363 
  Brachytherapy 36 (65.5) 24 (61.5) 12 (75.0) 0.340 
  External beam radiation therapy 15 (27.3) 10 (25.6) 5 (31.3) 0.671 
  No5 15 (27.3) 12 (30.8) 3 (18.8)  
 Chemotherapy6, n (%) 
  Yes 11 (20) 9 (23.1) 2 (12.5) 0.373 
  No 44 (80) 30 (76.9) 14 (87.5)  
VariablesAll patients (n = 55)Positive ECC cohort (n = 39)Negative ECC cohort (n = 16)p value
Surgical entry, n (%) 
 Laparotomy 27 (49.1) 25 (64.1) 3 (18.7) 0.002 
 Minimal invasive techniques 28 (50.9) 14 (35.9) 13 (81.3)  
Duration of surgery, median (range), min 233.5 (112–435) 242 (171–435) 225 (112–321) 0.395 
Surgical procedures, n (%) 
 Hysterectomy 55 (100) 39 (100) 16 (100)  
 Bilateral salpingo-oophorectomy, n (%) 
  Yes 51 (92.7) 37 (94.9) 14 (87.5) 0.339 
  No1 4 (7.3) 2 (5.1) 2 (12.5)  
 Pelvic lymphadenectomy, n (%) 
  Primary 44 (80.0) 31 (79.5) 13 (81.3) 0.289 
  Secondary 1 (1.8) 0 (0) 1 (6.3)  
  No2 10 (18.2) 8 (20.5) 2 (12.4)  
 Para-aortic lymphadenectomy, n (%) 
  Primary 30 (54.5) 22 (56.4) 8 (50) 0.283 
  Secondary 1 (1.8) 0 (0) 1 (6.3)  
  No 24 (43.6) 17 (43.6) 7 (43.8)  
 Omentectomy, n (%) 
  Yes3 4 (7.3) 2 (5.1) 2 (12.5) 0.339 
  No 51 (92.7) 37 (94.9) 14 (87.5)  
 Residual tumor, n (%) 
  pR0 54 (98.2) 38 (97.4) 16 (100) 0.518 
  pR1 1 (1.8) 1 (2.6) 0 (0)  
Adjuvant therapy, n (%) 
 Radiotherapy4 
  Yes 40 (72.7) 27 (69.2) 13 (81.3) 0.363 
  Brachytherapy 36 (65.5) 24 (61.5) 12 (75.0) 0.340 
  External beam radiation therapy 15 (27.3) 10 (25.6) 5 (31.3) 0.671 
  No5 15 (27.3) 12 (30.8) 3 (18.8)  
 Chemotherapy6, n (%) 
  Yes 11 (20) 9 (23.1) 2 (12.5) 0.373 
  No 44 (80) 30 (76.9) 14 (87.5)  

Bold values indicate statistical significance (p < 0.05).

ECC, endocervical curettage.

1It was already performed previously.

2Patients had no lymphadenectomy due to high risk for perioperative complications or refusal.

3It was performed by non-endometrioid EC.

4Eleven (20%) patients had both brachytherapy and external beam radiation therapy according to previous European and German guidelines.

5Procedure was refused by patients.

6Chemotherapy may be applied for T2 patients according to previous European and German guidelines.

The median follow-up time was 56 months, ranging from 5 to 122 months. Seven patients (12.7%) experienced a recurrence after primary therapy. Most recurrences, in 6 patients, occurred within 0–36 months after diagnosis, with only 1 patient experiencing a recurrence after 36 months. Sixteen deaths (29.1%) were observed.

Sensitivity and Specificity of Fractional Curettage

Eighty-four patients with T1 stage EC and 55 patients with T2 stage EC were included in this analysis. Nearly all patients (99.3%) underwent fractional curettage to obtain an endometrial sample for histological confirmation. Only 1 patient (0.7%) had fractional curettage without hysteroscopy due to vulnerable cervical tissue. Comparison of the results of the tissue sample obtained by fractional curettage with the results of uterine examination after hysterectomy revealed two significant findings. First, 22 patients (15.8%) with preoperative positive ECC were negative after hysterectomy in the cervix, indicating false positives. Second, 16 patients (11.5%) with preoperative negative ECC were found to be positive in the uterus after hysterectomy, indicating false negatives. The sensitivity of fractional curettage in detecting ECC was 70.9%, with a specificity of 73.8%, as shown in Table 3. In summary, the main results include a sensitivity and specificity of 70.9% and 73.8%, respectively, for fractional curettage in detecting ECC. Additionally, there was a significant difference in OS (p = 0.019) between preoperative endocervical negative and positive patients. Furthermore, preoperative detection of ECC influenced both OS and PFS as an independent factor.

Table 3.

Determination of the predictive value of fractional curettage

Fractional curettage
positive ECCnegative ECCtotal
Hysterectomy 
 Positive ECC 39 16 55 
 Negative ECC 22 62 84 
 Total 61 78 139 
 Accuracy (39+62)/139 72.7% 
 Sensitivity 39/(39+16) 70.9% 
 Specificity 62/(22+62) 73.8% 
 PPV 39/(39+22) 63.9% 
 NPV 16/(16+62) 79.5% 
Fractional curettage
positive ECCnegative ECCtotal
Hysterectomy 
 Positive ECC 39 16 55 
 Negative ECC 22 62 84 
 Total 61 78 139 
 Accuracy (39+62)/139 72.7% 
 Sensitivity 39/(39+16) 70.9% 
 Specificity 62/(22+62) 73.8% 
 PPV 39/(39+22) 63.9% 
 NPV 16/(16+62) 79.5% 

PPV, positive predictive value; NPV, negative predictive value; ECC, endocervical curettage.

Regression Analysis of pT2 Stage Patients

PFS was clinically better in patients with negative ECC compared to those with positive ECC (77.6 months vs. 59.5 months, p = 0.054, Fig. 2). However, statistical significance was not achieved. Independent prognostic factors for PFS included age at diagnosis (OR: 1.05; 95% CI: 1.00–1.10; p = 0.022), positive ECC in fractional curettage (OR: 6.20; 95% CI: 1.13–34.03; p = 0.036), and FIGO stage (OR: 2.69; 95% CI: 1.06–6.82; p = 0.036) (Table 4). The comparative analysis of the groups revealed a statistically significant benefit in OS rates. OS rates were 81.8 months for patients with negative ECC compared to 59.5 months for patients with positive ECC (p = 0.019, Fig. 3). In the stepwise multivariate Cox regression analysis, age (OR: 1.09; 95% CI: 1.02–1.15; p = 0.003), positive ECC in fractional curettage (OR: 29.18; 95% CI: 2.36–359.53; p = 0.008), grading (OR: 3.45; 95% CI: 1.25–9.50; p = 0.016), and FIGO stage (OR: 3.44; 95% CI: 1.19–9.94; p = 0.022) were found to be statistically significant prognostic factors for OS (Table 5).

Fig. 2.

Progression-free survival (PFS) according to endocervical invasion in fractional curettage.

Fig. 2.

Progression-free survival (PFS) according to endocervical invasion in fractional curettage.

Close modal
Table 4.

Cox regression analysis for prognostic factors influencing progression-free survival (PFS)

ParameterBSEWaldOR95% CIp value
lower boundupper bound
Age at diagnosis 0.053 0.023 5.275 1.055 1.008 1.104 0.022 
Endocervical invasion in fractional curettage (positive/negative) 1.825 0.869 4.414 6.202 1.130 34.037 0.036 
FIGO stage 0.991 0.474 4.378 2.695 1.065 6.822 0.036 
Grading 0.561 0.331 2.875 1.753 0.916 3.355 0.090 
Histology −0.228 0.179 1.623 0.796 0.561 1.131 0.203 
Hormonal status −0.429 0.630 0.463 0.651 0.190 2.239 0.496 
ECOG 0.048 0.362 0.018 1.049 0.516 2.134 0.895 
BMI −0.001 0.041 0.001 0.999 0.922 1.082 0.980 
ParameterBSEWaldOR95% CIp value
lower boundupper bound
Age at diagnosis 0.053 0.023 5.275 1.055 1.008 1.104 0.022 
Endocervical invasion in fractional curettage (positive/negative) 1.825 0.869 4.414 6.202 1.130 34.037 0.036 
FIGO stage 0.991 0.474 4.378 2.695 1.065 6.822 0.036 
Grading 0.561 0.331 2.875 1.753 0.916 3.355 0.090 
Histology −0.228 0.179 1.623 0.796 0.561 1.131 0.203 
Hormonal status −0.429 0.630 0.463 0.651 0.190 2.239 0.496 
ECOG 0.048 0.362 0.018 1.049 0.516 2.134 0.895 
BMI −0.001 0.041 0.001 0.999 0.922 1.082 0.980 
Fig. 3.

Overall survival (OS) of T2 stage patients according to endocervical invasion in fractional curettage.

Fig. 3.

Overall survival (OS) of T2 stage patients according to endocervical invasion in fractional curettage.

Close modal
Table 5.

Cox regression analysis for prognostic factors influencing OS

ParameterBSEWaldOR95% CIp value
lower boundupper bound
Age at diagnosis 0.086 0.029 8.581 1.090 1.029 1.155 0.003 
Endocervical invasion in fractional curettage (positive/negative) 3.374 1.281 6.933 29.184 2.369 359.538 0.008 
Grading 1.239 0.517 5.753 3.453 1.254 9.505 0.016 
FIGO stage 1.238 0.540 5.254 3.449 1.197 9.941 0.022 
Histology −0.301 0.191 2.473 0.740 0.508 1.077 0.116 
ECOG 0.224 0.369 0.368 1.251 0.607 2.580 0.544 
Hormonal status 0.236 0.789 0.089 1.266 0.270 5.946 0.765 
BMI −0.002 0.043 0.002 0.998 0.918 1.086 0.967 
ParameterBSEWaldOR95% CIp value
lower boundupper bound
Age at diagnosis 0.086 0.029 8.581 1.090 1.029 1.155 0.003 
Endocervical invasion in fractional curettage (positive/negative) 3.374 1.281 6.933 29.184 2.369 359.538 0.008 
Grading 1.239 0.517 5.753 3.453 1.254 9.505 0.016 
FIGO stage 1.238 0.540 5.254 3.449 1.197 9.941 0.022 
Histology −0.301 0.191 2.473 0.740 0.508 1.077 0.116 
ECOG 0.224 0.369 0.368 1.251 0.607 2.580 0.544 
Hormonal status 0.236 0.789 0.089 1.266 0.270 5.946 0.765 
BMI −0.002 0.043 0.002 0.998 0.918 1.086 0.967 

Bold values indicate statistical significance (p < 0.05).

B, beta coefficient; SE standard error; Wald, Wald test; OR, odds ratio; CI, confidence interval; FIGO, International Federation of Gynecology and Obstetrics (2009); ECOG, performance status, Eastern Cooperative Oncology Group; BMI, body mass index.

The current surgical treatment for pT2 stage EC consists of simple hysterectomy, BSO, and sentinel lymphadenectomy. Until recently, the preoperative assessment of cervical stromal involvement played a crucial role in deciding whether to perform radical hysterectomy in primary EC [15]. However, radical hysterectomy was associated with various perioperative complications, including prolonged surgery duration, extended hospital stays, and severe postoperative urinary tract dysfunction. Importantly, it did not significantly improve local recurrence-free survival, PFS, or OS [6, 16]. Despite the retrospective nature of these studies, clinical analysis results prompted a shift from radical to simple hysterectomy as the preferred surgical approach for pT2 stage EC.

The predictive role of preoperative positive ECC in pT2 stage primary EC remains unclear. Despite advances in molecular and genetic markers, conventional histology remains a crucial component of EC pathology assessment. Further exploration and integration of ECC into clinical protocols harbor the potential to predict intraoperative staging for patients classified as T2. Consequently, in instances such as FIGO IA, where preoperative imaging does not reveal evidence of cervical stromal invasion, a positive ECC could serve as a predictive tool, warranting consideration for intraoperative frozen section analysis of the uterus. In the event of the identification of cervical stromal invasion during intraoperative frozen pathology, resulting in a disease upstaging from FIGO IA to II, the indication for and execution of sentinel lymph node biopsy could be advocated within the context of the same primary surgical treatment. In our multivariate analysis, preoperative positive ECC in pT2 stage carcinoma, compared to negative ECC, was associated with worse OS rates and established as an independent prognostic factor for survival (p = 0.019).

The prognostic value of cervical stromal invasion remains controversial in the literature and is often associated with poor prognostic factors such as lymphovascular invasion (LVSI) and depth of myometrial infiltration [17, 18]. Pitson et al. [17] conducted a retrospective analysis of prognostic factors in pT2 stage EC following adjuvant radiotherapy. They found that cervical involvement is a significant unfavorable factor for OS, along with other factors such as LVSI and patient age. In contrast, Zaino et al. [19] reported that endocervical involvement does not significantly affect survival when compared to pT1 stage disease in multivariate analysis. Therefore, the authors did not recommend using endocervical involvement as a determinant of pT2 stage. Additionally, the reproducibility rate for determining the pattern of endocervical involvement by different pathologists was not high [17].

Interestingly, a retrospective multivariate analysis by Solmaz et al. [20] revealed a correlation between cervical stromal invasion and lymph node metastasis (OR: 4.04, 95% CI: 2.02–8.07) in primary EC. In contrast, our study did not identify significant differences between positive and negative ECC cohorts concerning lymph node metastasis (p = 0.223). Additionally, positive ECC patients underwent significantly more laparotomies than minimal invasive surgery (p = 0.002) in our analysis. This was because, in the early period of the study, surgeons opted for radical hysterectomy via laparotomy for cT2 tumors based on preoperatively positive ECC, as the evidence for the oncologic safety of minimally invasive procedures was lacking. In all histologically diagnosed primary EC cases, guidelines recommend determining the expression of p53 and MMR proteins through IHC staining or assessing the POLE mutational status via next-generation sequencing assay. This is preferably done pretreatment on tissue obtained by fractional curettage or endometrial biopsy [9]. These markers (MMRP, p53abn, and POLEmut) are already part of the risk stratification in addition to conventional histology and are crucial for determining adjuvant therapy [9].

The newly published FIGO classification for endometrial carcinoma includes these new molecular markers, making risk stratification in stages I and II precise and helping to avoid overtreatment in adjuvant therapy. This marks the first clinical staging system in gyneco-oncology in which such molecular markers are implemented [11].

Our results demonstrated a sensitivity of 70.9% and a specificity of 73.8% for the detection of endocervical invasion in fractional curettage. NCCN guidelines recommend primary office endometrial biopsy for the diagnostic evaluation of patients with metrorrhagia [21, 22]. These examinations aim to minimize healthcare costs and reduce the low false negative rate. A study by Leitao et al. [23] showed that the upstaging from stage I to stage II/III in primary EC cases in a diagnostic setting was significantly lower when tissue was obtained using dilation and curettage compared to other diagnostic methods (8.7% vs. 17.4%). The combination of hysteroscopy and fractional curettage has a high sensitivity of 98.2% and specificity of 100% in detecting corpus mucosa polyps, endometrial carcinomas, and endometrial myomas [12]. Therefore, hysteroscopy with fractional curettage is often applied for diagnosing alterations of the endometrium [5, 9]. Additionally, the assessment of endocervical involvement could be complemented using transvaginal ultrasound or MRI. In a meta-analysis comprising 17 studies, Juan Luis Alcazar et al. [24] reported a pooled sensitivity of 63% (95% confidence interval [CI]: 51–74%) and a specificity of 91% (95% CI: 87–94%) for detecting cervical invasion in EC with transvaginal ultrasound. MRI showed a low pooled sensitivity of 0.58 (95% CI: 0.55–0.62) but a high specificity of 0.95 (95% CI: 0.94–0.95) in detecting cervical invasion with EC in a meta-analysis by Bi et al. [25].

Limitations of this study include its retrospective and unicenter design, as well as a small number of patients, which could influence the accuracy of these results. Nevertheless, precise patient selection, inclusion of only well-documented cases, surgeries performed, and pathological slide reviews by the same experienced team at our institution may enhance the validity of our analysis.

In conclusion, the preoperative detection of endocervical involvement could be evaluated as a prognostic factor in primary EC and may be implemented for therapeutic decision-making. Its determination in fractional curettage showed high sensitivity and specificity in preoperative diagnostics. Further prospective studies with a larger cohort are needed to establish the final role of positive ECC and fractional curettage in the diagnostic and therapeutic management of primary EC, as well as their role in combination with new molecular and IHC markers.

The study received approval from the Institutional Review Boards of the UCT and the Ethical Committee at the University Hospital Frankfurt (project numbers: UCT-19-2021, UCT-31-2020). Written informed consent was not required due to the retrospective nature of this study.

The authors have no conflicts of interest to declare.

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Maria Laura Dokara-Friedrich: drafting the word and manuscript, design, and data collection; Marius Loeffler and Inna Shehaj: data collection; Morva Tahmasbi-Rad: revising the manuscript; Bahar Gasimli: revising the manuscript and data collection; Thomas Karn: statistical analysis; Mourad Sanhaji: data analysis; Sven Becker: interpretation and supervision; and Khayal Gasimli: conception, supervision, design, and interpretation.

All data generated or analyzed during this study are included in this article. Further inquiries can be directed to the corresponding author.

1.
Sung
H
,
Ferlay
J
,
Siegel
RL
,
Laversanne
M
,
Soerjomataram
I
,
Jemal
A
, et al
.
Global cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
.
CA Cancer J Clin
.
2021
;
71
(
3
):
209
49
.
2.
Clarke
MA
,
Long
BJ
,
Del Mar Morillo
A
,
Arbyn
M
,
Bakkum-Gamez
JN
,
Wentzensen
N
.
Association of endometrial cancer risk with postmenopausal bleeding in women: a systematic review and meta-analysis
.
JAMA Intern Med
.
2018
;
178
(
9
):
1210
22
.
3.
Timmermans
A
,
Opmeer
BC
,
Khan
KS
,
Bachmann
LM
,
Epstein
E
,
Clark
TJ
, et al
.
Endometrial thickness measurement for detecting endometrial cancer in women with postmenopausal bleeding: a systematic review and meta-analysis
.
Obstet Gynecol
.
2010
;
116
(
1
):
160
7
.
4.
Kobayashi
M
,
Garside
J
,
Nguyen
J
.
Healthcare resource utilization and costs among commercially insured patients with advanced or recurrent endometrial cancer initiating first-line therapy in the United States
.
JHEOR
.
2023
;
10
(
2
):
104
10
.
6.
Takano
M
,
Ochi
H
,
Takei
Y
,
Miyamoto
M
,
Hasumi
Y
,
Kaneta
Y
, et al
.
Surgery for endometrial cancers with suspected cervical involvement: is radical hysterectomy needed (a GOTIC study)
.
Br J Cancer
.
2013
;
109
(
7
):
1760
5
.
7.
Cohn
DE
,
Woeste
EM
,
Cacchio
S
,
Zanagnolo
VL
,
Havrilesky
LJ
,
Mariani
A
, et al
.
Clinical and pathologic correlates in surgical stage II endometrial carcinoma
.
Obstet Gynecol
.
2007
;
109
(
5
):
1062
7
.
8.
Liu
T
,
Tu
H
,
Li
Y
,
Liu
Z
,
Liu
G
,
Gu
H
.
Impact of radical hysterectomy versus simple hysterectomy on survival of patients with stage 2 endometrial cancer: a meta-analysis
.
Ann Surg Oncol
.
2019
;
26
(
9
):
2933
42
.
9.
Concin
N
,
Matias-Guiu
X
,
Vergote
I
,
Cibula
D
,
Mirza
MR
,
Marnitz
S
, et al
.
ESGO/ESTRO/ESP guidelines for the management of patients with endometrial carcinoma
.
Int J Gynecol Cancer
.
2021
;
31
(
1
):
12
39
.
10.
Raffone
A
,
Travaglino
A
,
Mascolo
M
,
Carbone
L
,
Guida
M
,
Insabato
L
, et al
.
TCGA molecular groups of endometrial cancer: pooled data about prognosis
.
Gynecol Oncol
.
2019
;
155
(
2
):
374
83
.
11.
Berek
JS
,
Matias-Guiu
X
,
Creutzberg
C
,
Fotopoulou
C
,
Gaffney
D
,
Kehoe
S
, et al
.
FIGO staging of endometrial cancer: 2023
.
J Gynecol Oncol
.
2023
;
34
(
5
):
e85
.
12.
Gerber
B
,
Krause
A
,
Quasmeh
A
,
Rohde
E
,
Reimer
T
,
Friese
K
.
Stellenwert der Hysteroskopie und fraktionierten Abrasio in der Abklärung von Postmenopauseblutungen
.
Geburtsh Frauenheilk
.
1998
;
58
(
08
):
440
5
.
13.
Visser
NCM
,
Reijnen
C
,
Massuger
LFAG
,
Nagtegaal
ID
,
Bulten
J
,
Pijnenborg
JMA
.
Accuracy of endometrial sampling in endometrial carcinoma: a systematic review and meta-analysis
.
Obstet Gynecol
.
2017
;
130
(
4
):
803
13
.
14.
Emons
G
,
Steiner
E
.
S3-Leitlinie diagnostik, therapie und nachsorge der patientinnen mit endometriumkarzinom
.
Gynäkologe
.
2018
;
51
(
12
):
996
9
.
15.
Tamussino
KF
,
Reich
O
,
Gücer
F
,
Moser
F
,
Zivkovic
F
,
Lang
PFJ
, et al
.
Parametrial spread in patients with endometrial carcinoma undergoing radical hysterectomy
.
Int J Gynecol Cancer
.
2000
;
10
(
4
):
313
7
.
16.
Nasioudis
D
,
Sakamuri
S
,
Ko
EM
,
Haggerty
AF
,
Giuntoli
RL
2nd
,
Burger
RA
, et al
.
Radical hysterectomy is not associated with a survival benefit for patients with stage II endometrial carcinoma
.
Gynecol Oncol
.
2020
;
157
(
2
):
335
9
.
17.
Pitson
G
,
Colgan
T
,
Levin
W
,
Lockwood
G
,
Manchul
L
,
Milosevic
M
, et al
.
Stage II endometrial carcinoma: prognostic factors and risk classification in 170 patients
.
Int J Radiat Oncol Biol Phys
.
2002
;
53
(
4
):
862
7
.
18.
Morrow
CP
,
Bundy
BN
,
Kurman
RJ
,
Creasman
WT
,
Heller
P
,
Homesley
HD
, et al
.
Relationship between surgical-pathological risk factors and outcome in clinical stage I and II carcinoma of the endometrium: a Gynecologic Oncology Group study
.
Gynecol Oncol
.
1991
;
40
(
1
):
55
65
.
19.
Zaino
RJ
,
Abendroth
C
,
Yemelyanova
A
,
Oliva
E
,
Lim
D
,
Soslow
R
, et al
.
Endocervical involvement in endometrial adenocarcinoma is not prognostically significant and the pathologic assessment of the pattern of involvement is not reproducible
.
Gynecol Oncol
.
2013
;
128
(
1
):
83
7
.
20.
Solmaz
U
,
Mat
E
,
Dereli
M
,
Turan
V
,
Gungorduk
K
,
Hasdemir
P
, et al
.
Lymphovascular space invasion and cervical stromal invasion are independent risk factors for nodal metastasis in endometrioid endometrial cancer
.
Aust N Z J Obstet Gynaecol
.
2015
;
55
(
1
):
81
6
.
21.
McCluggage
WG
.
My approach to the interpretation of endometrial biopsies and curettings
.
J Clin Pathol
.
2006
;
59
(
8
):
801
12
.
22.
McKenney
JK
,
Longacre
TA
.
Low-grade endometrial adenocarcinoma: a diagnostic algorithm for distinguishing atypical endometrial hyperplasia and other benign (and malignant) mimics
.
Adv Anat Pathol
.
2009
;
16
(
1
):
1
22
.
23.
Leitao
MM
,
Kehoe
S
,
Barakat
RR
,
Alektiar
K
,
Gattoc
LP
,
Rabbitt
C
, et al
.
Comparison of D&C and office endometrial biopsy accuracy in patients with FIGO grade 1 endometrial adenocarcinoma
.
Gynecol Oncol
.
2009
;
113
(
1
):
105
8
.
24.
Alcázar
JL
,
Pérez
L
,
Güell
O
,
Haro
N
,
Manzour
N
,
Chacon
E
, et al
.
Diagnostic performance of transvaginal ultrasound for detecting cervical invasion in women with endometrial carcinoma: a systematic review and meta-analysis
.
J Ultrasound Med
.
2019
;
38
(
1
):
179
89
.
25.
Bi
Q
,
Bi
G
,
Wang
J
,
Zhang
J
,
Li
H
,
Gong
X
, et al
.
Diagnostic accuracy of MRI for detecting cervical invasion in patients with endometrial carcinoma: a meta-analysis
.
J Cancer
.
2021
;
12
(
3
):
754
64
.